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Rakuten Viber is one of the most popular and downloaded apps in the world. Working with us provides a unique opportunity to influence hundreds of millions of our users and to be part of the journey that makes us a super-app. Our mission is to make people’s lives easier by enabling meaningful connections, from precious moments with family and friends, through managing business relationships to pursuing their passions. We are looking for a dual-threat digital expert to join our ads revenue team. This hybrid role is split between Ad Operations and Audience Strategy. You will be responsible for the technical health of our advertising stack (GAM/SSPs) while simultaneously acting as the primary consultant for our sales team on audience data. The ideal candidate understands how to pull the technical levers of yield management and how to translate complex data sets into high-value audience packages for advertisers.

Responsibilities:
Ad Operations & Campaign Management
* Inventory Management: Manage the end-to-end setup, delivery, and optimization of campaigns within Google Ad Manager (GAM).
* Programmatic Oversight: Maintain and optimize connections with various SSPs and header bidding partners.
* Yield Optimization: Monitor and adjust floor prices across various tiers to maximize RPM and reduce wasted inventory.
* Troubleshooting: Act as the lead for technical discrepancies, creative QA, and debugging delivery issues.
* Reporting: Generate daily/weekly performance reports for internal stakeholders, focusing on fill rates and technical health.
* Operational leg of programmatic curation, PD and PG campaigns.
* Follow the ad delivery process, ensuring correct implementation and functioning across different channels.
* Work closely with the Sales and AM team to debug errors related to ad creatives, tag implementations, and third-party programmatic partner integrations.
* Manage and maintain a healthy ads.txt ID list.
* Work with internal stakeholders to ensure brand safety and compliance with ad policies.
* Technical support of the partners\’ QBR preparation.
* Supporting smaller technical projects and action plans based on partner feedback. Audience Strategy & Sales Support
* Sales Consultancy: Act as the "subject matter expert" for the sales team, answering complex inquiries regarding audience scale, reach, and feasibility.
* Project Leadership: Lead the rollout of new audience-centric projects (e.g., implementing a CDP, transitioning to cookieless solutions, or testing ID providers).
* Market Insight: Stay ahead of privacy regulations (GDPR/CCPA) and technical shifts (Privacy Sandbox) to ensure our data strategy remains compliant and competitive.
* Audience Segmentation: Build and maintain complex, high-performing audience segments
* 1st-Party Data Strategy: Develop strategies to increase data collection points within the app while maintaining strict compliance with privacy regulations (GDPR, CCPA, ATT).
* Testing & Optimization: Run rigorous A/B tests on audience definitions and journey logic. Analyze performance data to refine targeting strategies and improve ROI.
* Cross-Functional Collaboration: Act as the "data translator" between technical engineering teams and the growth marketing team to ensure tracking events are accurately mapped and actionable.

Rakuten Viber is one of the most popular and downloaded apps in the world. Working with us provides a unique opportunity to influence hundreds of millions of our users and to be part of the journey that makes us a super-app. Our mission is to make people’s lives easier by enabling meaningful connections, from precious moments with family and friends, through managing business relationships to pursuing their passions. Connecting people across the world is a complex problem with many machine-learning applications. The purpose of this role is to implement mathematical models and algorithms to solve complex business problems in recommendations and classification. Successful outcomes will significantly impact our hundreds of millions of daily active users around the globe. As a Data Scientist, you will work in a highly collaborative environment with extensive amounts of data to research and develop deep learning models in the domains of dating, moderation and content segmentation and apply them to tasks such as recommendation systems and analytics at a high scale. You will have a chance to grow and develop professionally by owning data-driven projects from the research phase through to production, collaborating with highly experienced researchers.

Responsibilities:

* Develop classical machine learning and deep learning models that will impact company goals directly.
* Work with partner teams to design and implement solutions in recommender systems, classification and prediction for given objectives.
* Find solutions to complex problems in social network recommendations, understand the data generation process and the challenges involved with working with big data.
* Analyze and leverage the extensive data received from our application to enhance model performance and accuracy.

Advantages:

* Advanced knowledge in generative models: Auto-encoding, adversarial models, compression.
* Experience in developing deep learning graph model solutions.
* Experience with managing and utilizing datasets at the scale of 10s of TB.
* Publication in peer-reviewed conferences or journals on reinforcement learning, deep learning, and machine learning.
* Strong passion for machine learning and investing independent time towards learning, researching, and experimenting with new innovations.
* Strong business acumen or prior industry experience within the social media or messaging space.

Rakuten Viber is one of the most popular and downloaded apps in the world. Working with us means influencing hundreds of millions of users and shaping the journey toward becoming a true super-app. Our mission is to make people’s lives easier by enabling meaningful connections — from special moments with friends and family, to building businesses and pursuing passions. We’re looking for a Senior Data Analyst who combines strong technical skills with a strategic mindset and curiosity for how data drives user experience and growth in social mobile apps. You’ll partner closely with product, engineering, and marketing teams to turn data into clear insights and measurable business impact. If you’re passionate about uncovering insights, leveraging data and AI for smarter, faster results, and driving decisions at scale; we’d love to hear from you!

Responsibilities:

* Identify opportunities for improvement through data analysis aligned with company strategy.
* Partner cross-functionally to translate data findings into actionable product and business decisions.
* Design, run, and analyze A/B tests to evaluate product changes and user experience optimizations.
* Build, automate, and maintain dashboards and reports to track platform health, user behavior, and key trends.
* Communicate findings clearly to stakeholders, influencing both tactical and strategic decisions.
* Leverage AI and automation tools to accelerate analytical workflows and uncover deeper insights.

Advantages:

* Background in statistics, causal inference, or experimentation frameworks.?
* Experience mentoring analysts or leading analytical projects.?
* A deep interest in social, communication, or engagement-driven apps.

we are looking for a Product Manager.
As a Product Manager - Platform, youll own the technical foundations behind the core app experiences that drive Vibers global usage. Messaging, communication, and everyday interactions for millions of users around the world. This role sits at the intersection of deep technology and business strategy, requiring you to influence the architecture of massive-scale distributed systems while simultaneously articulating their value to senior leadership.
Responsibilities:
Drive the strategy, roadmap, and execution of Vibers platforms across mobile and desktop clients, in close collaboration with the R&D team.
Partner with Engineering, Analytics, Business leadership, to define and deliver a product vision that balances user needs, business growth, and technical opportunities.
Own the measurement and improvement of technical performance and usability across platforms.
Scale usage, retention, user satisfaction, and monetization through scaling experiences across platforms.
Define, monitor, and analyze Key Performance Indicators (KPIs) and Service Level Objectives (SLOs) for your products. Use this data to make difficult trade-off decisions, measure success, and drive continuous improvement.

Our Group (traded on the Tel Aviv stock exchange) is a leading, well-established, company in Israel for providing technological solutions in FinTech, Invest Tech, Legal Tec, and Business Tech (BT). We are looking for a strategic and hands-on VP product to lead our LegalTech product domain and shape the future of AI-driven legal solutions. In this role, you will own the end-to-end product vision-Mfrom defining strategy and product-market fit to leading execution and delivering measurable business impact. This is a high-impact leadership role for someone who thrives at the intersection of technology, business, and User Experience. Responsibilities:
* Define and drive the Product Strategy, ensuring alignment with company goals, market dynamics, and emerging trends in AI and LegalTech.
* Lead continuous market research and discovery efforts-deeply understand customer needs, competitive landscape, and opportunities for differentiation.
* Build and prioritize a clear, outcome-driven product roadmap based on business impact, user value, and strategic priorities.
* Lead cross-functional teams (R&D, Design, data ) through the full product lifecycle, ensuring high-quality and timely delivery by applying agile best practices.
* Champion a data -driven, user-first mindset-leveraging analytics, usability testing, and customer feedback to continuously improve engagement and retention.
* Partner closely with executive leadership, align cross-functional stakeholders, and build strong collaboration across the organization.
* Ensure all products meet legal, regulatory, and data privacy requirements relevant to the LegalTech domain.